longtermrisk/Qwen3-8B-good-vs-bad-mixed-second-third-sft
The longtermrisk/Qwen3-8B-good-vs-bad-mixed-second-third-sft is an 8 billion parameter Qwen3 model, fine-tuned by longtermrisk. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language tasks, leveraging its Qwen3 architecture for robust performance.
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Model Overview
This model, longtermrisk/Qwen3-8B-good-vs-bad-mixed-second-third-sft, is an 8 billion parameter variant of the Qwen3 architecture, fine-tuned by longtermrisk. It was developed using unsloth/Qwen3-8B as its base and optimized with Unsloth and Huggingface's TRL library, which enabled a 2x faster training process.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/Qwen3-8B. - Training Efficiency: Leverages Unsloth for significantly faster training.
- Parameter Count: Features 8 billion parameters, offering a balance of performance and computational efficiency.
- Context Length: Supports a context length of 32768 tokens.
Intended Use Cases
This model is suitable for a variety of general language generation and understanding tasks where the Qwen3 architecture's capabilities are beneficial. Its efficient training process suggests a focus on practical application and rapid iteration.